Our Philosophy
Former Hewlett-Packard CEO and current board of trustee member at MIT, Carly Fiorina once stated: “The goal is to transform data into information, and information into insight”. At Stock Data Trends, we strive to turn our data into actionable insight.
Our process involves:
- Capture of publicly available financial data points that we can apply in comparative analysis against stock market data.
- Cluster the data by discovering groups and structures in the stock market data that are in some way or another similar without using known structures in the data.
- Detect anomalies in the data that that seem “unusual”.
- Apply association rules and a regression formula against all of the data that we have captured. Here we search for relationships between the variable pieces and attempt to find a function which closely models the data with the least amount of error.
- Once all of our data models have been applied we summarize what we know to assist in making our stock market decisions.
“In God we trust; all others must bring data.” W. Edwards Deming
